Job duties and responsibilities
- Develop, implement and manage our social media strategy
- Define most important social media KPIs
- Manage and oversee social media content
- Measure the success of every social media campaign
- Stay up to date with the latest social media best practices, trends, memes, and technologies
- Use social media marketing tools such as Buffer
- Attend educational conferences
- Copywrite and work with designers to ensure content is informative and appealing
- Collaborate with Marketing, Sales, and Product Development teams
- Monitor SEO and user engagement and suggest content optimization
- Communicate with industry professionals and influencers via social media to create a strong network
- Hire and train others in the team
Job requirements and qualifications
- Bachelor’s degree in journalism, communications, marketing, or a related field.
- 3 or more years of social media experience including planning and managing content in a corporate, or agency setting.
- Social Media Strategist using social media for brand awareness and impressions
- Excellent knowledge of Facebook, Twitter, LinkedIn, Pinterest, Instagram and other social media best practices
- Understanding of SEO and web traffic metrics
- Experience with doing audience and buyer persona research
- Good understanding of social media KPIs
- Ability to work in a fast-paced, high-pressure environment.
- Excellent written and verbal communication skills and must have a thorough understanding of social media management and strategy.
- Good time-management skills
Shubham Vishwakarma
Full Stack Developer - Averlon
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Job description
Position Type: In-office (Okhla)
Salary: 3-3.5 LPA
Experience Required: 1-5 yearsPlease do not apply for this position if you face grammar issues in your writing. YMGrad is a fast-paced study abroad consulting firm. The post is for the position of customer support executive. We are looking for people with experience in working with students on their journey to study abroad in countries like the USA, Canada, Germany, and more. You will often find yourself shortlisting universities for students, guiding them on how to improve your profile, and learning more every day along the way. Training is available for candidates who need the same. However, we will still need people without grammar issues in their writing.
Responsibilities
- Inform interested candidates about our services.
- Work closely with students and the consulting team
- Optimize client relationship and improve reviews.
Industry
- Consumer Services
Employment Type
- Full-time
Please note: This job is full-time in office. No hybrid or remote position offered.
Data Science
Machine Learning (ML)Job Description
We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.
What You’ll Do will include (But not limited to):
- Preparing datasets needed to train and validate our machine learning models
- Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
- Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
- Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
- Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
- Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
- Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
- Supporting solutions ranging from rule-bases, classical ML techniques to the latest deep learning systems.
- Partnering with cross-functional team members to bring large scale data engineering solutions to production
- Communicating your approach and results to a wider audience through presentations
Your Qualifications:
- Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
- Good knowledge of traditional machine learning methods and neural networks
- Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
- Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
- Ability to implement data import, cleansing and transformation functions at scale
- Fluency in Docker, Kubernetes
- Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
- Solid English skills to effectively communicate with other team members
Due to the nature of the role, it would be nice if you have also:
- Experience with large datasets and distributed computing, especially with the Google Cloud Platform
- Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
- Experience with No–SQL and Graph databases
- Experience working in a Colab, Jupyter, or Python notebook environment
- Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
- Knowledge of Java, Scala or Go-Lang programming languages
- Familiarity with KubeFlow
- Experience with transformers, for example the Hugging Face libraries
- Experience with OpenCV
About Egnyte
In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com
#LI-Remote
1. Developing Dashboards as per leadership requirements to analyze the gap in sales performance
2. Transform high volumes of complex data into advanced analytic solutions.
3. Maintaining & updating Multiple large databases in structured format for ready to use in Excel Creating
multi-level dashboards with slicer, conditional report as per region wise access
4. Collaborated with various departments to improve the quality of data and reporting.
5. Performed data analysis and designed reports as per departmental needs.
6. Provide strong reporting and analytical information support to management team
7. Perform Day to Day Analysis of MIS Reporting & generating Sales Data reports on periodic basis.
8. Reports/dashboard generation & Publishing– Daily / Weekly / Monthly.
9. Monthly / Quarterly Revenue MIS as per Pan India Sales.
10. Analyzing Budget Vs Actual performance and finding the gaps to increase the sales
11. Generate and Publish Management reports in an accurate and timely manner.
12. Preparing,analyzing & tracking monthly Sales forecasting, Sale Trend Analysis and sharing the same with leadership ( Store Wise , SKU Wise & Category Wise)
13. Supporting Senior management team & other department heads with in-depth analysis
14. Generate both periodic and ad hoc reports as needed.
15. Analyse business information to identify process improvements for increasing business efficiency and
effectiveness.
16. Analyze Stock Availability & Fill Rate in Stores highlight low Stock low fill rate SKU`s in store
17. Preparing & Analyze Customer Bounce Report share with sales and logistic team
18. Help to identify any areas for process improvements.
19. Conduct Business Process analysis and identify critical issues and gaps .
20. Coordinating with Operations and other support groups.
21. Sales target setting across territories.
22. Analyzing the budget spend and trends for products across channels.
23. Design & implement sales expense/allowance module for all levels of field force.
24. Handling Sales Expenses & Cost Variance of Expenses (pre-month & estimates of expenses).
25. Activity Expense/Allowance, Advance, campaign expense.
26. Coordination with marketing & dispatch department for various inputs to field force.
27. Handling Sales Force Automation (SFA) Software for online reporting system for Sales Force Effectiveness.
28. Preparation of Creative Charts as per Analysis.
29. Preparation of Power Point Presentation as per MIS & Important Reports.
-
SAP Real Estate Management (SAP REM)/ RE-FX
-
SAP REM – need a very strong senior-level SAP Real Estate experience immediately
-
Should be able to identify, design and configure SAP Real Estate management. Can act as a lead and run client workshops. # of resources required = 1
-
SAP Flexible Real Estate Management (REFX) module – configuration and enhancement, integration with SAP FI/CO/PM/PS, Record & Case Management, reporting in BW system.
-
Integration of RE-FX/FI-AA/PM with Geo enablement & maps.
- ABAP development: SAP Data Dictionary, SAP Functions (local and RFC), BAPI, custom ALV reports and data upload programs, User Exits, BAdI, Adobe PDF forms.
PHP
Laravel• Total Experienced : 3+
• Experience working with PHP, performing unit testing, and managing APIs such as REST.
• A solid understanding of application design using Laravel.
• Knowledge of database design and querying using SQL.
• Experience with payment methods
• Experience with Video-conferencing services.
• Practical experience using the MVC architecture.
• A portfolio of applications and programs to your name.
• Problem-solving skills and critical mindset.
• Great communication skills.
• The desire and ability to learn.
ROLES AND RESPONSIBILITIES:
- Ownership of one of Plivo’s products to define a long term roadmap
- Engage with customers and cross-functional teams to design, deliver, and support the product
- Managing the product backlog and prioritising product stories in engineering sprints
- Working closely with the engineering teams on new features and critical bugs
- Internal and External stakeholder management
- Roadmap definition and execution
- Product training programs
The buck stops at you on the following key aspects of the product:
- Product Quality: Bugs, Uptime, Stability , Test Process
- Product Development: User experience, New features and enhancements
- Product Adoption: Growth, Customer Acquisition, Churn & Go-To-Market for new features.
- P&L: Pricing, Packaging, Margins
- Sustainability: Enabling Sales, Support, Solutions Engineering & Customer Success teams
REQUIREMENT:
- At least 4 years of overall experience and 3 years of prior PM experience
- Software development background is required
- Experience working with REST APIs is a bonus
- Experience with stakeholders and customer management
NodeJS (Node.js)
Python
Javascript
HTML/CSS
HTML/CSS
Java
AngularJS (1.x)
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Full Stack Developer - Averlon